ksb.csle.component.operator.cleaning
Object that contains message ksb.csle.common.proto.StreamOperatorProto.EMClusteringInfo EMClusteringInfo contains attributes as follows:
message EMClusteringInfo { required int32 k_value = 3 [default = 2]; required int32 maxIter = 4; }
Operates EMClustering.
Operates EMClustering.
Input dataframe
DataFrame Output dataframe
Validates EMClustering info and dataframe schema info using following params.
Validates EMClustering info and dataframe schema info using following params.
:: ApplicationDeveloperApi ::
Operator that performs EM(Expectation–Maximization) Clustering. It performs two steps iteratively to partition into k clusters. Expectation step calculates the expected value of the log likelihood function and maximization step finds the parameter maximizing the expected log-likelihood.